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ERP needs asset management

A single, integrated EAM and ERP solution can power an asset-intensive business into the future, says MOHAMED CASSOOJEE, MD and Country Manager, IFS South Africa and Africa.

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Most Enterprise Resource Planning software originated in the manufacturing sector as materials resource planning (MRP) solutions for organisations that needed to manage a lot of inventory. From there, they were rapidly developed into solutions for every industry imaginable.

But these roots mean that most standalone ERP software isn’t quite enough on its own to address the needs of organisations in asset-intensive industries such as metal foundries, mining, oil and gas, pulp and paper, energy and utilities, and construction and engineering.

Companies in these sectors are not managing inventory as much as they are managing the capacity of a fixed asset over its lifecycle as well as handling large-scale infrastructure projects with long planning cycles. This is where enterprise asset management (EAM) comes into play, offering capabilities that are not found in typical ERP systems.

EAM systems are built to help organisations manage assets such as plants, heavy machinery, pipelines and industrial-class vehicles. These solutions enable organisations to track the location and status of assets and asset objects in real time, schedule work orders to maintain and fix the assets, and manage the storage of spare parts required to service them.

As Africa’s governments, state-owned enterprises and private sector step up infrastructure investment, EAM has a vital role to play in ensuring that organisations drive the highest possible value from their new assets, whether these are telecoms networks, railway systems, ports or power plants.

According to the World Bank, Africa needs to spend around $93 billion a year over the next decade to address its infrastructure backlogs — about one-third of that cost is for maintenance. In 2008, World Bank found that about 30% of the infrastructure assets of a typical African country needed rehabilitation.

These numbers point to the urgent need for organisations across the continent to take a more proactive and preventative outlook towards maintenance of their key infrastructure and assets. Implementation of EAM can enable organisations to better track, manage and maintain assets to prolong their lifespan and enhance return on investment.

From asset planning to construction to operation to decommissioning and replacement, EAM allows organisations to maintain, manage and optimise assets over the entire asset lifecycle. By helping companies to increase asset productivity and availability – while reducing total cost of ownership – EAM can have a direct impact on profitability and financial sustainability.

Good EAM solutions can also be paired with corporate performance management and analytics tools to let organisations analyse operation disruptions and determine and address the causes, such as maintenance issues, inadequate training, or design faults.

Technological advances, along with the associated price drop for smart products being developed for the Internet of Things (IoT), now make it possible to monitor almost any asset in real-time from nearly any location across the globe. This further boosts the power and usefulness of an EAM solution. It is imperative that the EAM solutions that are implemented are built on robust, newer technologies that can easily support IOT, AI and smart bots.

EAM and ERP: a critical partnership

To sum up, ERP manages business operations, while the EAM system manages all the monitoring and operations of the asset. That means for most companies it isn’t an either-or choice because they need both EAM and ERP to drive optimal business performance.

Some organisations opt for so-called ‘best of breed’ EAM and ERP solutions from different providers. Yet integration can be a headache. The challenges include master data synchronisation and transaction integration. The company may also need to consider whether the ERP or EAM system is the better fit for a particular transaction or asset type.

However, for most organisations in asset-intensive industries, the ideal solution is an ERP system with extensive EAM capabilities: a system built from the ground up to manage not only basic business functions but also assets and their maintenance. Such a solution provides one complete solution spanning key processes and data.

This approach enables the organisation to truly manage and maximise value over asset lifecycles. It also empowers the enterprise to organise operations around the assets and individual asset objects it uses to create value for stakeholders, customers and the community.

For most asset-intensive companies, delivering EAM capabilities as part and parcel of an integrated ERP solution, simplifies their business systems landscape, giving them a single source of truth. The same arguments apply to project management and workforce management systems.

Organisations seeking to transform their business by standardising processes and leveraging reliable, real-time data will benefit from an ERP system with all of these capabilities, setting them up to adopt IoT, artificial intelligence, or whatever other new technologies are coming up next.

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How to rob a bank in the 21st century

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In the early 1980s, South Africans were gripped by tales of the most infamous bank robbery gangs the country had ever known: The Stander Gang. The gang would boldly walk into banks, brandishing weapons, demand cash and simply disappear. These days, a criminal doesn’t even have to be in the same country as the bank he or she intends to rob. Cyber criminals are quite capable of emptying bank accounts without even stepping out of their own homes.

As we become more and more aware of cybersecurity and the breaches that can occur, we’ve become more vigilant. Criminals, however, are still going to follow the money and even though security may be beefed up in many organisations, hackers are going to go for the weakest links. This makes it quintessential for consumers and enterprises to stay one step ahead of the game.

“Not only do these cyber bank criminals get away with the cash, they also end up damaging an organisation’s reputation and the integrity of its infrastructure,” says Indi Siriniwasa, Vice President of Trend Micro, Sub-Saharan Africa. “And sometimes, these breaches mean they get away with more than just cash – they can make off with data and personal information as well.”

Because the cyber criminals operate outside bricks and mortar, going for the cash register or robbing the customers is not where their misdeeds end. Bank employees – from the tellers to the CEO – are all fair game.

But how do they do it? Taking money out of an account is not the only way to steal money. Cyber criminals can zero in on the bank’s infrastructure, or hack into payment systems and even payment documents. Part of a successful operation for them may also include hacking into telecommunications to gain access to one-time pins or mobile networks.

“It’s not just about hacking,” says Siriniwasa.. “It’s also about the hackers trying to get an ‘inside man’ in the bank who could help them or even using a person’s personal details to get a new SIM so that they can have access to OTPs. Of course, they also use the tried and tested method of phishing which continues to be exceptionally effective – despite the education in the market to thwart it.”

The amounts of malware and available attacks to gain access to bank funds is strikingly vast and varies from using web injection script, social engineering and even targeting internal networks as well as points of sale systems. If there is an internet connection and a system you can be assured that there is a cybercriminal trying to crack it. The impact on the bank itself is also massive, with reputations left in tatters and customers moving their business elsewhere.

“We see that cyber criminals use multi-faceted attacks,” says Siriniwasa. “This means that we need to come at security from multiple angles as well. Every single layer of an organisation’s online perimeter need to be secured. Threat isolation is exceptionally important and having security with intrusion protection is vital. Again, vigilance on the part of staff and customers also goes a long way to preventing attacks. These criminals might not carry guns like Andre Stander and his gang, but they are just as dangerous – in fact – probably more so.”

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Beaten by big data? AI is the answer

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by ZAKES SOCIKWA, cloud big data and analytics lead at Oracle

In 2019, it’sestimated we’ll generate more data than we did in the previous 5,000 years. Data is fast becoming the most valuable asset of any modern organisation, and while most have access to their internal data, they continue to experience challenges in deriving maximum value through being able to effectively monetise the information that they hold.

The foundation of any analytics or Business Intelligence (BI) reporting capability is an efficient data collection system that ensures events/transactions are properly recorded, captured, processed and stored. Some of this information on its own might not provide any valuable insights, but if it is analysed together with other sources might yield interesting patterns.

Big data opens up possibilities of enhancing internal sources with unstructured data and information from Internet of Things (IoT) devices. Furthermore, as we move to a digital age, more businesses are implementing customer experience solutions and there is a growing need for them to improve their service and personalise customer engagements.

The digital behaviour of customers, such as social media postings and the networks or platforms they engage with, further provides valuable information for data collection. Information gathering methods are being expanded to accommodate all types and formats of data, including images, videos, and more.

In the past, BI and Data Mining were left to highly technical and analytical individuals, but the introduction of data visualisation tools is democratising the analytics world. However, business users and report consumers often do not have a clear understanding of what they need or what is possible.

AI now embedded into day to day applications

To this end, artificial intelligence (AI) is finishing what business intelligence started. By gathering, contextualising, understanding, and acting on huge quantities of data, AI has given rise to a new breed of applications – one that’s continuously improving and adapting to the conditions around it. The more data that is available for the analysis, the better is the quality of the outcomes or predictions.

In addition, AI changes the productivity equation for many jobs by automating activities and adapting current jobs to solve more complex and time-consuming problems, from recruiters being able to source better candidates faster to financial analysts eliminating manual error-prone reporting.

This type of automation will not replace all jobs but will invent new ones. This enables businesses to reduce the time to complete tasks and the costs of maintenance, and will lead to the creation of higher-value jobs and new engagement models. Oracle predicts that by 2025, the productivity gains delivered by AI, emerging technologies, and augmented experiences could double compared to today’s operations.

According to the IDC, worldwide revenues for big data and business analytics (BDA) solutions was expected to total $166 billion in 2018, and forecast to reach $260 billion in 2022, with a compound annual growth rate of 11.9% over the 2017-2022 forecast period. It adds that two of the fastest growing BDA technology categories will be Cognitive/AI Software Platforms (36.5% CAGR) and Non-relational Analytic Data Stores (30.3% CAGR)¹.

Informed decisions, now and in the future

As new layers of technology are introduced and more complex data sources are added to the ecosystem, the need for a tightly integrated technology stack becomes a challenge. It is advisable to choose your technology components very carefully and always have the end state in mind.

More development on emerging technologies such as blockchain, AI, IoT, virtual reality and others will probably be available on cloud first before coming on premise. For those organisations that are adopting public cloud, there are opportunities to consume the benefits of public cloud and drive down costs of doing business.

While the introduction of public cloud is posing a challenge on data sovereignty and other regulations, technology providers such as Oracle have developed a ‘Cloud at Customer’ model that provides the full benefits of public cloud – but located on premise, within an organisation’s own data centre.

The best organisations will innovate and optimise faster than the rest. Best decisions must be made around choice of technology, business processes, integration and architectures that are fit for business. In the information marketplace, speed and informed decision making will be key differentiators amongst competitors.

¹ IDC Press Release, Revenues for Big Data and Business Analytics Solutions Forecast to Reach $260 Billion in 2022, Led by the Banking and Manufacturing Industries, According to IDC, 15 August 2018

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